Shimo Docs MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Shimo Docs through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"shimo-docs": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Shimo Docs, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Shimo Docs MCP Server
Empower your AI agent to orchestrate your collaborative workflow with Shimo Docs, the leading professional office suite in China. By connecting Shimo Docs to your agent, you transform complex document management and team collaboration into a natural conversation. Your agent can instantly list your files, create new collaborative documents, import external content, and even export your work into multiple formats without you ever needing to navigate the web interface. Whether you are managing complex project documentation or financial spreadsheets, your agent acts as a real-time collaborative assistant, keeping your files organized and your team aligned.
LangChain's ecosystem of 500+ components combines seamlessly with Shimo Docs through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Document Orchestration — List all accessible documents, sheets, and presentations across your workspace.
- File Management — Create, retrieve, and delete files with full support for collaborative metadata.
- Import & Export — Seamlessly import external content and export Shimo documents into standard formats like docx and pdf.
- Folder Organization — Browse folder structures and manage file locations efficiently.
- Administrative Insights — List organization users and monitor audit logs for security and compliance.
The Shimo Docs MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Shimo Docs to LangChain via MCP
Follow these steps to integrate the Shimo Docs MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Shimo Docs via MCP
Why Use LangChain with the Shimo Docs MCP Server
LangChain provides unique advantages when paired with Shimo Docs through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Shimo Docs MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Shimo Docs queries for multi-turn workflows
Shimo Docs + LangChain Use Cases
Practical scenarios where LangChain combined with the Shimo Docs MCP Server delivers measurable value.
RAG with live data: combine Shimo Docs tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Shimo Docs, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Shimo Docs tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Shimo Docs tool call, measure latency, and optimize your agent's performance
Shimo Docs MCP Tools for LangChain (10)
These 10 tools become available when you connect Shimo Docs to LangChain via MCP:
create_file
Create a new Shimo file
export_file
Export a Shimo file
get_file
Get file details
get_folder_content
Get folder contents
get_org_info
Get organization details
import_file
Import a document into Shimo
list_audit_logs
List audit logs
list_files
List all Shimo files
list_folders
List all Shimo folders
list_users
List organization users
Example Prompts for Shimo Docs in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Shimo Docs immediately.
"List all my collaborative documents on Shimo."
"Create a new spreadsheet titled 'Q2 Expenses' in folder 'Finance'."
"Export the document 'Project Roadmap' to PDF."
Troubleshooting Shimo Docs MCP Server with LangChain
Common issues when connecting Shimo Docs to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersShimo Docs + LangChain FAQ
Common questions about integrating Shimo Docs MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Shimo Docs with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Shimo Docs to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.